* May 8-12, 2017: Ivo Dinov is offering a [http://www.socr.umich.edu/people/dinov/2017/Spring/PBDA_R_Bootcamp/ week-long Bootcamp: Predictive Big Data Analytics using R]. This deep dive into modern Big Data Analytics will take place Monday (May 8, 2017) through Friday (May 12, 2017), 8:00AM to 4:00PM, at SNB 1250, University of Michigan, 426 North Ingalls, Ann Arbor, MI. The event will also be ''streamed live'' ([http://www.socr.umich.edu/people/dinov/2017/Spring/PBDA_R_Bootcamp/ see details on the bootcamp site]).

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* March 23, 2017: FireFox 52+ will not support Java plug ins. SOCR users that are interested in continuing to access SOCR Java Applets via FireFox need to install the 32-bit version of [https://support.mozilla.org/t5/Problems-with-add-ons-plugins-or/Why-do-Java-Silverlight-Adobe-Acrobat-and-other-plugins-no/ta-p/31069 FF Extended Support Release (52 ESR)].

* In October 2016, Ivo Dinov participated in an [http://zika.smartercrowdsourcing.org/anlisis-predictivo-conference.html expert International panel including government officials of a dozen countries affected by the Zika virus]. The panel reviewed evidence and made recommendations to public officials on strategies to combat the spread of the Zika virus and the associated microcephaly in newborns.

* July 08, 2016: Ivo Dinov was [http://www.pbs.org/wgbh/nova/next/body/theres-hope-for-fmri-despite-major-software-flaws/ interviewed by NOVA (WGBH/PBS)] on a [http://www.pnas.org/content/early/2016/06/27/1602413113 recent PNAS Report identifying significant potential shortfalls of Big Data functional magnetic resonance imaging (fMRI) studies], of which there may be over 35,000 in the past quarter century. The article used 500 normal control subjects (null data) to generate 3 million simulation studies where every experiment included randomly chosen subjects, either resting state or task activation fMRI, and found false-positive discoveries (significant grouping effects where there were none) up to 70% of the simulations. Although this does not discredit any specific previously published fMRI findings, the investigations suggests the need for novel Big Data analytics methods, and scalable software tools, that can reduce the false-positive rate.

* Mar 07, 2016, Ivo Dinov was [https://www.isi-web.org/images/news/ISI_Memb%20Elect%202015-2016_News%20Item.pdf Elected as a Member] of the [http://isi-web.org International Statistical Institute (ISI)]. ISI is the world’s most prestigious Statistical Organization Established in 1885 as a non-profit, non-government, organization with a consultative status within the Economic and Social Council of the United Nations. The ISI organizes the [http://www.isi2017.org World Statistics Congresses] every two years across the Globe.

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* Jan 19, 2016, Ivo Dinov gave a lecture on ''Big, Deep, and Dark Data: Fundamentals, Research Challenges, and Opportunities'' at the [http://www.src.isr.umich.edu Survey Research Center (SRC)] seminar series, Institute for Social Research, University of Michigan.

* June 14-18, 2015, Ivo Dinov and his colleagues presented "The Pipeline Environment: A Scalable, Distributed and Service-Oriented Neuroimaging and Genetics" at the [http://ohbm.loni.usc.edu 21st Annual Meeting of the Organization for Human Brain Mapping], Honolulu, Hawaii.

* April 21-24, 2015, Ivo Dinov organized a [http://midas.umich.edu/event/micro-big-data-analytics-workshop-2015/ micro Big Data Analytics workshop at the University of Michigan Institute for Data Science (MIDAS)]. The focus of this micro-workshop is to lay down the foundation for developing a new Compressive Big Data Analytics (CBDA) foundation enabling representation, modeling, analysis and interrogation of large, incongruent multi-source, incomplete and messy data. The highlights of the workshop include talks from [http://www.socr.umich.edu/CSCD/html/events/Amiri_CSCD_Presents_2015.html Dr. Saeid Amiri] and [http://www.socr.umich.edu/CSCD/html/events/Ahmed_MIDAS_Presents_2015.html Dr. S. Ejaz Ahmed].

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* February 18, 2015, Ivo Dinov gave a lecture on "Management, Modeling & Analytic Challenges of Big Biomedical Data" at the [http://www.psych.med.umich.edu/events/579 University of Michigan Psychiatry Grand Rounds].

* April 28, 2014: Ivo Dinov is interviewed on "[http://www.aaas.org/news/big-data-blog-part-v-interview-dr-ivo-dinov The Big Data]" by Center for Science, Technology, and Security Policy (CSTSP), at the American Association for the Advancement of Science (AAAS).

* Dec 11 and Dec 18, 2013: Ivo Dinov is giving a [http://www.sph.umich.edu/iscr/news_events/event.cfm?ID=3323 2-part presentation about the State of the SOCR Project: Part 1: Scope, Projects and Organization; Part 2: Exploratory Data Analyses (EDA)].

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* Dec 11 and Dec 18, 2013: Ivo Dinov is giving a [http://www.sph.umich.edu/iscr/news_events/event.cfm?ID=3323 2-part presentation about the State of the SOCR Project: Part 1: Scope, Projects and Organization; Part 2: Exploratory Data Analyses (EDA)] (Videos: [http://socr.ucla.edu/docs/videos/SOCR_UMSN_2013_1/ Part 1: EDA] and [http://socr.ucla.edu/docs/videos/SOCR_UMSN_2013_2/ Part 2: Tools]).

March 23, 2017: FireFox 52+ will not support Java plug ins. SOCR users that are interested in continuing to access SOCR Java Applets via FireFox need to install the 32-bit version of FF Extended Support Release (52 ESR).

July 08, 2016: Ivo Dinov was interviewed by NOVA (WGBH/PBS) on a recent PNAS Report identifying significant potential shortfalls of Big Data functional magnetic resonance imaging (fMRI) studies, of which there may be over 35,000 in the past quarter century. The article used 500 normal control subjects (null data) to generate 3 million simulation studies where every experiment included randomly chosen subjects, either resting state or task activation fMRI, and found false-positive discoveries (significant grouping effects where there were none) up to 70% of the simulations. Although this does not discredit any specific previously published fMRI findings, the investigations suggests the need for novel Big Data analytics methods, and scalable software tools, that can reduce the false-positive rate.

Jan 19, 2016, Ivo Dinov gave a lecture on Big, Deep, and Dark Data: Fundamentals, Research Challenges, and Opportunities at the Survey Research Center (SRC) seminar series, Institute for Social Research, University of Michigan.

January 23-25, 2013: 2013 AAAS TUES/CCLI conference in Washington, DC; American Association for the Advancement of Science, AAAS, and the National Science Foundation, NSF, Programs for Course, Curriculum, and Laboratory Improvement, CCLI, and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES.

October 09, 2012: Dr. Ivo Dinov consults on a PBS NOVA/WGBH Interactive Mapping the Brain Webapp providing understanding of the relationship between brain anatomy, function and physiology. This resource enables the exploration of complex connections between different brain regions, and showcases the difference between normal and abnormal brain variability.

January 26-28, 2011: Ivo Dinov is presenting the SOCR resource at the 2011 AAAS TUES/CCLI conference in Washington, DC (American Association for the Advancement of Science, AAAS, and the National Science Foundation (NSF) Programs for Course, Curriculum, and Laboratory Improvement (CCLI) and Transforming Undergraduate Education in Science, Technology, Engineering, and Mathematics, TUES).

March 25, 2010: We upgraded the SOCR user web-statistics mechanism. Now we provide anonymous access to dynamic and complete statistics on the web-users of the main SOCR server. The new SOCR web-statistics architecture allows anyone to see anytime the locations and types of the last 500 SOCR users. Each user is uniquely counter daily, irrespective of usage-time or number of SOCR resources they used. Other SOCR servers have separate tracking mechanisms.

2009

October 2009: A new major upgrade of SOCR Analyses is released that fixed the appearance of the tabs on all SOCR analysis applets. The new version only shows the tabs that are appropriate for the specific SOCR Analysis chosen by the user. This upgrade of Analyses resolves this inconsistency and makes the navigation to data-input, variable-mapping and result-interpretation much more intuitive and user-friendly.

September 2009: A new SOCR forum is introduced. Users, instructors, students and developers may use this forum to post questions, learn about various SOCR datasets, tools, learning materials, and contribute to the SOCR knowledgebase.

September 17, 2008: The complete SOCR source code, v.2.5, was publicly released via the SOCR Google Code project page. This new release contains the latest version of the SOCR libraries and all additional resources needed to revise, compile, package and deploy the entire SOCR resource on the Internet.

Sept. 24, 2007: The National Science Foundation (NSF) extended the funding for the UCLA Statistics Online Computational Resource (SOCR) for another 4 years (2007-2011). This is a great accomplishment for the SOCR team and recognition of the SOCR Resource achievements since 2002. In the next 4 years, SOCR will design, test, validate, and disseminate 1) tools (applets, demos, GUI interfaces), 2) educational materials (activities, class notes, tutorials), and 3) resources (Statistics Online Computational Resource Wiki, consulting, workshops, etc.) More information is available online.